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Introduction: In a diverse society, individuals often need to make prosocial decisions toward others who vary on a range of intertwined social identities. Adolescence is a prime time to promote intergroup prosociality due to identity salience during this developmental stage. In this study, our goal was to develop and provide initial validation, of a novel measure on intergroup prosocial behavior considering gender and race/ethnicity. Method: We used two independent samples of early adolescents (N1 = 118, Mage = 12.21 years, 55% boys, 59% White collected nationally in the United States.; N2 = 133, Mage = 12.77, 51.1% boys, 77% White collected locally in Arizona). Results: Using the data from Sample 1, Exploratory Factor Analyses revealed a two‐factor solution capturing intergroup prosociality and personal distress. Confirmatory Factor Analyses with data from Sample 2 confirmed the factor structure. The reliability of intergroup prosociality was acceptable. Prosociality subscale was positively correlated with adolescents' empathy, sympathy, compliant, emotional, dire, and anonymous prosocial behaviors indicating convergent validity and negatively correlated with adolescents' public prosocial behavior indicating discriminant validity. Further, we examined whether youth engage in differential intergroup prosocial behavior using both variable‐centered and person‐centered approaches, combining data from Samples 1 and 2. While adolescents did not engage in differential intergroup prosocial behavior, Latent Profile Analyses revealed five distinct profiles of early adolescents' intergroup prosociality. Overall, this study advances research on youth's intergroup prosociality across two intersectional social identities, moving beyond the conceptualization of single social identities in intergroup research. [ABSTRACT FROM AUTHOR]

Background: Systemic immune-inflammation index (SII) is a novel comprehensive inflammatory marker. Inflammation is associated with impaired lung function. We aimed to explore the possible relationship between SII and lung function to examine the potential of SII in predicting lung function decline., Methods: A cross-sectional survey was conducted using the data of the NHANES from 2007 to 2012. Multiple linear regression models were used to analyze the linear relationship between SII and pulmonary functions. Sensitivity analyses, subgroup analyses, and interaction tests were used to examine the robustness of this relationship across populations. Fitted smooth curves and threshold effect analysis were used to describe the nonlinear relationships., Results: A total of 10,125 patients were included in this study. After adjusting for all covariates, multiple linear regression model analysis showed that high Log2-SII level was significantly associated with decreased FVC(β, -23.4061; 95% CI, -42.2805- -4.5317), FEV1(β, -46.7730; 95% CI, -63.3371- -30.2089), FEV1%(β, -0.7923; 95% CI, -1.1635- -0.4211), FEV1/FVC(β, -0.6366; 95% CI, -0.8328- -0.4404) and PEF(β, -121.4468; 95% CI,-164.1939- -78.6998). The negative correlation between Log2-SII and pulmonary function indexes remained stable in trend test and stratified analysis. Inverted U-shaped relationships between Log2-SII and FVC, FEV1, FEV1%, and PEF were observed, while a negative linear correlation existed between FEV1/FVC and Log2-SII. The cutoff values of the nonlinear relationship between Log2-SII and FVC, FEV1, FEV1%, PEF were 8.3736, 8.0688, 8.3745, and 8.5255, respectively. When SII exceeded the critical value, the lung function decreased significantly., Conclusion: This study found a close correlation between SII and pulmonary function indicators. This study investigated the SII threshold when lung functions began to decline in the overall population. SII may become a promising serological indicator for predicting lung function decline. However, prospective studies were needed further to establish the causal relationship between these two factors., Competing Interests: The authors report no conflicts of interest in this work., (© 2024 Yuan et al.)